/****************************************************************************** * Author: Laurent Kneip * * Contact: kneip.laurent@gmail.com * * License: Copyright (c) 2013 Laurent Kneip, ANU. All rights reserved. * * * * Redistribution and use in source and binary forms, with or without * * modification, are permitted provided that the following conditions * * are met: * * * Redistributions of source code must retain the above copyright * * notice, this list of conditions and the following disclaimer. * * * Redistributions in binary form must reproduce the above copyright * * notice, this list of conditions and the following disclaimer in the * * documentation and/or other materials provided with the distribution. * * * Neither the name of ANU nor the names of its contributors may be * * used to endorse or promote products derived from this software without * * specific prior written permission. * * * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"* * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE * * ARE DISCLAIMED. IN NO EVENT SHALL ANU OR THE CONTRIBUTORS BE LIABLE * * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR * * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY * * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF * * SUCH DAMAGE. * ******************************************************************************/ #include #include #include #include #include #include #include #include #include "random_generators.hpp" #include "experiment_helpers.hpp" #include "time_measurement.hpp" using namespace std; using namespace Eigen; using namespace opengv; int main( int argc, char** argv ) { // initialize random seed initializeRandomSeed(); //set experiment parameters double noise = 0.5; double outlierFraction = 0.0; size_t numberPoints = 10; //generate a random pose for viewpoint 1 translation_t position1 = Eigen::Vector3d::Zero(); rotation_t rotation1 = Eigen::Matrix3d::Identity(); //generate a random pose for viewpoint 2 translation_t position2 = generateRandomTranslation(2.0); rotation_t rotation2 = generateRandomRotation(0.5); //create a fake central camera translations_t camOffsets; rotations_t camRotations; generateCentralCameraSystem( camOffsets, camRotations ); //derive correspondences based on random point-cloud bearingVectors_t bearingVectors1; bearingVectors_t bearingVectors2; std::vector camCorrespondences1; //unused in the central case std::vector camCorrespondences2; //unused in the central case Eigen::MatrixXd gt(3,numberPoints); generateRandom2D2DCorrespondences( position1, rotation1, position2, rotation2, camOffsets, camRotations, numberPoints, noise, outlierFraction, bearingVectors1, bearingVectors2, camCorrespondences1, camCorrespondences2, gt ); std::cout << "the original points are: " << std::endl << gt; std::cout << std::endl << std::endl; //Extract the relative pose translation_t position; rotation_t rotation; extractRelativePose( position1, position2, rotation1, rotation2, position, rotation, false ); //print experiment characteristics printExperimentCharacteristics( position, rotation, noise, outlierFraction ); //create a central relative adapter and pass the relative pose relative_pose::CentralRelativeAdapter adapter( bearingVectors1, bearingVectors2, position, rotation); //timer struct timeval tic; struct timeval toc; size_t iterations = 100; //run experiments std::cout << "running triangulation algorithm 1" << std::endl << std::endl; double triangulate_time; MatrixXd triangulate_results(3,numberPoints); for(size_t j = 0; j < numberPoints; j++) { gettimeofday( &tic, 0 ); for(size_t i = 0; i < iterations; i++) triangulate_results.block<3,1>(0,j) = triangulation::triangulate(adapter,j); gettimeofday( &toc, 0 ); triangulate_time = TIMETODOUBLE(timeval_minus(toc,tic)) / iterations; } std::cout << "timing: " << triangulate_time << std::endl; std::cout << "triangulation result: " << std::endl; std::cout << triangulate_results << std::endl; MatrixXd error(1,numberPoints); for(size_t i = 0; i < numberPoints; i++) { Vector3d singleError = triangulate_results.col(i) - gt.col(i); error(0,i) = singleError.norm(); } std::cout << "triangulation error is: " << std::endl; std::cout << error << std::endl << std::endl; std::cout << "running triangulation algorithm 2" << std::endl << std::endl; double triangulate2_time; MatrixXd triangulate2_results(3,numberPoints); for(size_t j = 0; j < numberPoints; j++) { gettimeofday( &tic, 0 ); for(size_t i = 0; i < iterations; i++) triangulate2_results.block<3,1>(0,j) = triangulation::triangulate2(adapter,j); gettimeofday( &toc, 0 ); triangulate2_time = TIMETODOUBLE(timeval_minus(toc,tic)) / iterations; } std::cout << "timing: " << triangulate2_time << std::endl; std::cout << "triangulation result: " << std::endl; std::cout << triangulate2_results << std::endl; for(size_t i = 0; i < numberPoints; i++) { Vector3d singleError = triangulate2_results.col(i) - gt.col(i); error(0,i) = singleError.norm(); } std::cout << "triangulation error is: " << std::endl << error << std::endl; }